Agentic Coding with GitHub Copilot

In this hands-on workshop, you'll learn how to move beyond chat-based coding and design structured, agentic coding workflows. Using GitHub Copilot, you will learn to write effective prompts, leverage LLMs for multi-file coding tasks, and design workflows that plan, act, and iterate safely. 

 

Learning Outcomes

  • Explain key concepts and terminology related to agentic coding (agents, planning loops, tools, guardrails).

Programming in Python: master your first project

Learning to program is increasingly essential for researchers and support staff. This course introduces students to the Python programming language from the very basics. No prior programming experience is required.

Research Data Management (RDM) in life sciences: essentials

Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus. 

 

Objectives

Research Data Management (RDM) in life sciences: essentials

Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus. 

 

Objectives

Co-creating RDM guidance for virologists: Hands-on contentathon for the RDMkit Virology page

12 March 2026
Auditori L’illa, Av. Diagonal, 547, Les Corts, 08029 Barcelona, Spain

ELIXIR Belgium (VIB), in the context of the EU-funded EVORA| European Viral Outbreak Response Alliance project, is organising an in-person contentathon to refine and strengthen the RDMkit Virology domain page: https://rdmkit.elixir-europe.org/virology

Research Data Management (RDM) in life sciences: essentials

Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus. 

Objectives

Research Data Management (RDM) in life sciences: essentials

Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus. 

Objectives

Research Data Management (RDM) in life sciences: essentials

Effective research data management (RDM) is more than just a compliance requirement - it's a practical tool that simplifies your workflow, strengthens your research, and enhances the impact of your publications. This training is designed to help researchers embed RDM practices into their projects from the very beginning, always keeping the publication process in focus. 

Objectives

Train the trainer

This training equips early-career educators and researchers — particularly those in bioinformatics and life sciences — with essential skills to design and deliver practical, engaging training sessions. 
Aimed at first-time trainers, postdocs, and academic staff involved in teaching, the course introduces 

  • evidence-based learning principles and
  • practical strategies for planning, facilitating, and evaluating training. 

 

Objectives

At the end of the course, the participants are expected to:

COMPASS

1 January 2026 - 31 December 2028

COMPASS (Comprehensive ‘Omics Informs Precision Action and Diagnosis in Sarcoma) is a VIB Grand Challenges project that aims to transform sarcoma diagnosis by replacing fragmented genetic testing with a comprehensive multi-omics approach. Current diagnostic methods often provide limited insight and still fail to deliver a diagnosis in up to 20% of cases.